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Ishango Data science Fellowship
Ishango Data science Fellowship

Join our Data Science Programme

Ishango is invested in your success. Our Data Science Programme includes a generous stipend, gives you access to international data science projects and mentors from global institutions as well as providing soft-skills training to take your career to the next level. You will join as a talented technician and leave as an experienced Data Science professional.

Apply now
ishango fellows with mentors

Join our Data Science Programme

Ishango is invested in your success. Our Data Science Programme includes a generous stipend, gives you access to international data science projects and mentors from global institutions as well as providing soft-skills training to take your career to the next level. You will join as a talented technician and leave as an experienced Data Science professional.

ishango fellows with mentors
Apply now

Why Join our Programme?

Fully funded & free

Master marketing your skills to a global audience at no cost to yourself.

Learn as part of a team

Train, work, and network with your cohort, support and celebrate each other's success.

Work with global companies

Gain experience on projects from top global companies and seek guidance from experienced mentors.

Submit your Application

During our data science programme, you will have the opportunity to work with major international companies on real projects that make an impact. Apply below if you are a recent graduate with a degree in Mathematics, Computer Science, Engineering, Physics, and Statistics or have a least 2 years of data science experience and excellent Python coding skills.

Submit your application
"The programme has enabled me to strengthen my programming, critical thinking, and problem-solving skills." "It has also improved my presentation skills and sharpened my passion for learning new things."
Cyrille FeudjioCameroon
“It has been great getting to work on a project which allows me to make a positive impact on people's lives. It has challenged me and influenced me to set higher goals, push myself to go for something beyond what I thought I could do.”
Winifred Harriet AsanteGhana
"The programme has given me more confidence to enter the world of employment, I have learnt and developed my technical skills and also my communications skills during the fellowship."
Engelbert Tchinde
"I have improved my coding skills especially in the remote sensing field through building a classification model identifying different crop types in a given area."
Aimable Ishimwe ManziRwanda
“The fellowship allowed me to work on a deep learning project with a business use case, and I learned about a few algorithms such as Faster R-CNN, Detectron2, YOLO, etc... "I am in a better position to take on more challenging tasks.”
Percy Chukwudi Nigeria
“The fellowship has been an exciting journey." I worked on a computer vision problem that one of the world's leading companies in the production and wholesale of fresh produce is facing. "Throughout the fellowship, we encountered many challenges, which helped me expand my computer vision and Python programming knowledge."
Mahamat Azibert AbdelwahabChad
"We learn by doing the things we have to learn before we can do them," says Aristotle. "Ishango's data science fellowship gave me the opportunity to learn by working on the actual problem in the hydroelectric space with experts." I found it very insightful. "I gained knowledge and confidence.”
Ethel Elikem MensahGhana
"Working with Ishango.ai as a fellow has been an opportunity for me to learn from data science experts, enabling me to use the skills I acquired through my training at AMMI." It has also allowed me to use cloud services and tools like AWS, which was my first experience and honed my SQL skills. It has been a stepping stone for me to successfully launch a career in data science and AI.
Bonaventure FontehCameroon
“Working on the fellowship helped me realise that there are multiple solutions to any given problem." Finding the best solution is an iterative process that requires teamwork.
Stephen AdjignonGhana
“As a mathematician, I'm always fascinated by real-world applications of mathematics, and the project with Barry Callebaut provided me with exposure from an engineering standpoint." "I've learned a lot of engineering concepts in addition to mathematics.”
Opanin Adu AgyeiGhana
“Working at Barry Callebaut was a great experience for me. It challenged me to attack data problems by attempting a solution from many different perspectives.
Samuel Nignamon GyimahGhana
"The most valuable outcome of my experience on the PMI project has been the teamwork I have experienced, particularly when faced with a challenge." Everyone supported and shared with one another, which enabled us to achieve more.
Jeannine UwingabireRwanda
"I found the fellowship very valuable. I learned about leadership, improved my technical skills, and also developed my slide design and presentation skills." "I really enjoyed and appreciated the time I spent with the supportive and productive team at WorldRemit.”
Mamadou GueyeSenegal
Professionally, the program has improved my problem-solving abilities and collaboration, communication, and presentation skills. Most importantly, it has increased my understanding of dealing with a data science problem from a business needs perspective.
Aurelie Jodelle KemmeCameroon
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Here are two examples of successfully completed projects done by Ishango Data Scientists during our Data Science Programme.

Faith and Cyrille presenting their project on an unsupervised predictor model developed in collaboration with Elder Research

Anisie and Joseph presenting their project on machine learning model to predict mental health illness developed in collaboration with Omniscient Neurotechnology

Meet Our Data Scientists

Ethel Mensah

Ethel has a master's in Mathematical Sciences with a focus on data science from African Institute of Mathematical Sciences in Rwanda.
 

Percy Chukwudi

Percy has a bachelor of engineering in electrical and electronic engineering from Federal University of Technology and a master's of science in technology from Carnegie Mellon University

Stephen Adjignon

Stephen has a High National Diploma in Production Engineering from Ho Technical University. 
 

Faith Benson

Faith holds a Master's in Mathematical Sciences from University of Cape Town and also a Master's in Machine Learning from AIMS

Jeannine Uwingabire

Jeannine holds a Master's of Science in Mathematical Sciences, specializing in Computer Science from AIMS Rwanda and a Bachelor of Sciences in Mathematics specializing in applied Mathematics

Anisie Uwimana

Anisie holds an African Master's in Machine Intelligence and a Master's in Mathematical Sciences from Rwanda Kigali.

Luel Hagos

Luel has a master's in Mathematical Sciences with a focus on data science from African Institute of Mathematical Sciences in Rwanda.
 

Shadrack Darku

Shadrack holds a bachelor's degree in Telecommunications Engineering from Kwame Nkrumah University of Science and Technology

Winifred Harriet Asante

Winifred has a Master's Degree in Mathematical Sciences from AIMs 
Ghana. 

Cyrille Feudjio

Cyrille holds Master’s Degree in Industrial Mathematics from AIMS Cameroon, an Engineer’s Degree in Industrial Engineering and a Masters in Physics from the University of Dschang.

Mamadou Gueye

Mamadou holds an African Master's in Machine Intelligence from AIMS Rwanda & a Master's in Computer Science, data management &  software engineering, from Gaston Berger University, Senegal.

Nasser Mouliom

Nasser holds a Master's degree of Science in Industrial Mathematics from AIMS Cameroon and Master's in Physics from the University of Beua.

Bonaventure Fonteh

Fonteh has a master's in African Master of Machine Intelligence from African Institute for Mathematical Sciences

Samuel Gyimah

Samuel has a Bachelor of Science in Mechanical Engineering from the University of Energy and Natural Resources, Ghana. 

Bright Edem Aboh

Bright holds a Master's in Mathematical Sciences with a minor in Big Data and Financial Mathematics from AIMS Senegal.

Sylvera Massawe

Sylvera holds a Master's in Mathematical Sciences from AIMS Rwanda.

Aimable Manzi

Aimable holds a Master's in Mathematical Sciences with a minor in Climate change and a Master's in machine intelligence from AIMS Rwanda.

Joseph Domguia

Joseph holds an African Master’s in Machine Intelligence from AIMS Rwanda.

Mahamat Azibert

Mahamat has a bachelor's in Applied Mathematics from the University of Dschang and a Master's in applied mathematics from the African Institute for Mathematical Sciences (AIMS).

Opanin Agyei Adu

Opanin has a Master's of Philosophy in applied mathematics from Kwame Nkrumah University of Science and a Bachelor of Science in Statistics.

Jeanette Nyirahakizimana

Jeanette holds a Master's in Mathematical sciences specializing in Operation Research and an African Master's in Machine Intelligence from AIMS Rwanda.

Engelbert Tchinde

Engelbert holds a Master's in Mathematical Sciences majoring in Big data and computer security from AIMS Senegal. 

Victoire Noyum

Victoire holds a Master’s in Industrial Mathematical (Data Science specialization) and a Master's of Engineering in Automotive Technology, option Mechatronic from AIMS Cameroon.

Aurelie Kemme

Aurelie holds a Master's of Science in Industrial Mathematics from AIMS Cameroon.

 


FAQs

A recent graduate with a degree in Mathematics, Computer Science, Engineering, Physics and Statistics. Applicants with any degree who can demonstrate at least 2 years of relevant work experience and have successfully completed online courses in data science can join. If you don’t have any technical background or training in data science, sadly, you can not take part in the programme.
Complete and submit the online application form. If selected, you will be invited to complete an online technical assessment. Upon successful completion of the online assessment, you will be invited for a technical interview. If your interview is successful, you will receive a conditional offer pending approval by a host company. Once the host company has reviewed your profile and is happy to have you assigned to their project, you will receive a confirmed offer.
We look for people that have data science and problem-solving skills, a good level of coding, work well as part of a team, and have good time management and planning skills.
The data science programme is fully funded and free for selected participants. In addition, you will receive a stipend to cover your accommodation, meals, local transport and living costs for the duration of the programme.
It is not possible to join the programme part-time, remotely or on flexible hours. It is essential that applicants only accept an offer if they are able to commit to being available full-time for the 8 weeks of programme. You will be required to work in person from the Ishango workspace for the duration of the programme.
Participants will need to fund and make their own travel arrangements to and from the residency in Accra/Kigali.  However, financial support may be provided for exceptional candidates from disadvantaged backgrounds.
Typically your day will start by arriving at the Ishango workspace at the specified start time ( usually 8 am) followed by a morning stand-up meeting to plan the day. You will then spend the day working on your assigned project including having a meeting with your host company (when scheduled). Lunch is then provided after which you will attend an expert session (scheduled weekly). Lastly, you will have an end-of-day reflection meeting at 5 pm. After work you are free and sometimes we plan some activities for you to take part in.
The programme is an opportunity for you to demonstrate your skills and impress your host company. If a host company is happy with your performance they may offer you a contract to continue working with them. We will also provide you with further support and exposure to help you with your job search.
Projects will be all data-based. Each host company proposes a project and you will have to find a solution for it in your team of two. The projects vary considerably depending on the host company, however they all require strong data engineering and data science skills. Tools and skills often required are: machine learning; NLP; working with DBs; Python; VS Code Studio; git.
 
All kinds of companies from all over the world. Most of them are data science-guided, and others are just companies which have proposed data projects with which they need help.
 

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